Meta: Llama 3.1 8B Instruct

meta-llama/llama-3.1-8b-instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

Modalities

In / out price

$0.050 / $0.080 per 1M

Context

131K

Released

Jul 23, 2024

Why use Llama 3.1 8B Instruct

Tool and function calling (agent-ready)
Structured (JSON) outputs

Pricing

Input	$0.050 / 1M tokens
Output	$0.080 / 1M tokens
Cached input (read)	$0.025 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Coding index5.4

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

TaskInput tokens≈ 602 wordsOutput tokens≈ 1,504 wordsRuns per month

Input served from cache: 0%Repeated prompts (same instructions or document) are billed at the cheaper cache-read price where the model supports it.

Model	Per run	Per month	Per 1,000 runs
Meta: Llama 3.1 8B Instruct	$0.0002	$0.200	$0.200

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Zoom (square size): 6pxZoom out to see a whole million-token window at once.